A Transparent, High Barrier, and High Heat Substrate for Organic Electronics

The use of plastic film substrates for organic electronic devices promises to enable new applications, such as flexible displays and conformal lighting, and a new low-cost paradigm through high-volume roll-to-roll fabrication. Unfortunately, presently available substrates cannot yet deliver this promise because of the challenge in achieving the required combination of optical transparency, impermeability to water and oxygen, mechanical flexibility, high-temperature capability, and chemical resistance. Here, we describe the development and performance of a plastic substrate comprising a high heat polycarbonate film combined with a unique transparent coating package that is aimed at meeting this challenge.     

抓住照片类商品市场的机遇

<正>传统照片冲印市场中的营收潜力在不断减少,但照片类的商品却可以帮助服务提供商将数码照片转换成收入,这些商品包括如照片贺卡、照片书、带照片的日历或杯子等。这些商品已引起了消费者和零售商的关注,消费者喜欢照片类的商品是因为它们会成为很好的礼物,以照片为中心的商业打印商和零售     

这就是体验——2011年的“准确接触”

客户和潜在客户在选择产品和服务时越来越多地利用多种渠道,他们正在数字媒体和传统媒体之间来回切换。这就意味着营销人员不仅要了解正确的信息,而且还要了解正确的媒体喜好。     

Comparison of absorption after inhalation and instillation of uranium octoxide

Values for the absorption parameters were compared after inhalation or intratracheal instillation of 1.5 microm mass median aerodynamic diameter (MMAD) 233U3O8 particles into the lungs of HMT strain rats. The two sets of parameter values were similar, as were the calculated dose coefficients and predicted biokinetics for workers. Hence the inhalation and instillation techniques can probably both be used to generate values of the absorption parameters for U3O8.     

智能定位的账单营销

营销商很早就意识到．具有同样文化背景，行为方式以及认识观念的人们彼此之间会自然地相互吸引，形成一个同类群体。一旦被定位到某个群体．人们会自然地模仿周围的人——进而形成同样的社会价值观、同样的品味和社会期望值。更重要的是．他们对产品、服务、媒体以及促销品具有相似的消费行为。我们可以根据人们这种相似的行为方式开发各种系统．这些系统可以根据人们最基本的社会经济地位和人口组成把他们及其家庭成员划归为不同的群体或组织。     

Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals

Data analysis applications typically aggregate data across manydimensions looking for anomalies or unusual patterns. The SQL aggregatefunctions and the GROUP BY operator produce zero-dimensional orone-dimensional aggregates. Applications need the N-dimensionalgeneralization of these operators. This paper defines that operator, calledthe data cube or simply cube. The cube operator generalizes the histogram,cross-tabulation, roll-up,drill-down, and sub-total constructs found in most report writers.The novelty is that cubes are relations. Consequently, the cubeoperator can be imbedded in more complex non-procedural dataanalysis programs. The cube operator treats each of the Naggregation attributes as a dimension of N-space. The aggregate ofa particular set of attribute values is a point in this space. Theset of points forms an N-dimensional cube. Super-aggregates arecomputed by aggregating the N-cube to lower dimensional spaces.This paper (1) explains the cube and roll-up operators, (2) showshow they fit in SQL, (3) explains how users can define new aggregatefunctions for cubes, and (4) discusses efficient techniques tocompute the cube. Many of these features are being added to the SQLStandard.